Leila Taghizadeh
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The paper demonstrates that achieving Post-Quantum Cryptography (PQC) readiness requires treating cryptographic discovery as a governance capability to manage complex dependencies and prioritize risk in critical service providers.
This paper improves the foundations of neural likelihood approximation for Bayesian inverse problems by making the learning problem strictly convex and showing convergence to the true likelihood.
Papers
A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems
This paper improves the foundations of neural likelihood approximation for Bayesian inverse problems by making the learning problem strictly convex and showing convergence to the true likelihood.